A performance impact of Andrew's Sine threshold for a robust regularized SRR based on ML framework

Autor:	Vorapoj Patanavijit
Rok vydání:	2016
Předmět:	SRR (Super-Resolution Reconstruction) DIR (Digital Image Reconstruction) DIP (Digital Image Processing) ML (Maximum Likelihood) Estimation DSP (Digital Signal Processing)
DOI:	10.14456/rjas.2016.1
Popis:	Rangsit Journal of Arts and Sciences, 6, 1
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::d0b613283d1c13f9d1d3090289028114 Zobrazit plný text záznamu